Modeling Torso Shape and Assessing Lumbar Kinematics with Flexible Strain Sensors

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dc.contributor.advisorSchulze, Lawrence
dc.contributor.committeeMemberChung, Christopher A.
dc.contributor.committeeMemberLee, Beom-Chan
dc.contributor.committeeMemberKim, Han
dc.creatorVu, Linh Q.
dc.creator.orcid0000-0001-6645-1910
dc.date.accessioned2018-11-29T16:15:45Z
dc.date.available2018-11-29T16:15:45Z
dc.date.createdMay 2018
dc.date.issued2018-05
dc.date.submittedMay 2018
dc.date.updated2018-11-29T16:15:45Z
dc.description.abstractAstronauts that are exposed to long-term microgravity and perform functional tasks in a spacesuit are at high risk for low back pain and injury. To understand and mitigate injury risks, it is necessary to evaluate the lumbar kinematics. This evaluation can be achieved using fabric-based strain sensors. Therefore, the purpose of this study was to develop and test a method to assess the torso shape deformation and lumbar motion with fabric-based strain sensors that were adhered on the body. Twelve male study participants performed lumbar articulation postures while 3D body scans and sensor measurements were collected. A multilayer principal component and regression-based model was constructed to estimate torso shape and lumbar kinematics. The model demonstrated good lumbar kinematics estimation (< 15°), fairly accurate torso (RMSE < 4.5 cm), and lumbar (RMSE < 1.2 cm) geometry estimation. This method may become a useful tool for measuring suited lumbar motion.
dc.description.departmentIndustrial Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/3407
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectLow back injury
dc.subjectFabric strain sensors
dc.subjectLumbar kinematics
dc.subjectTorso shape modeling
dc.titleModeling Torso Shape and Assessing Lumbar Kinematics with Flexible Strain Sensors
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2020-05-01
local.embargo.terms2020-05-01
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentIndustrial Engineering, Department of
thesis.degree.disciplineIndustrial Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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